Kernel density smoothing of composite spatial data on administrative area level : a case study of voting data in Berlin
Year of publication: |
2022
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Authors: | Erfurth, Kerstin ; Groß, Marcus ; Rendtel, Ulrich ; Schmid, Timo |
Published in: |
Wirtschafts- und sozialstatistisches Archiv : eine Zeitschrift der Deutschen Statistischen Gesellschaft. - Berlin : Springer, ISSN 1863-8163, ZDB-ID 2375523-4. - Vol. 16.2022, 1, p. 25-49
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Subject: | Spatial data | Administrative areas | Choropleths | Kernel density estimation | Voting atlases |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Notes: | Zusammenfassung in deutscher Sprache |
Other identifiers: | 10.1007/s11943-021-00298-9 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
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